在火花中使用Pubsub Lite库获取错误
我在使用Spark结构化流向GCP PubSub Lite发布消息时会遇到错误。 我无法在Spark中使用Writestream,因为我想在Spark中的ForeachBatch接收器中使用它,因此我在每个DataFrame行中使用foreachPartition,foreach和foreach和发布消息。 以下是我收到的错误,有些消息会发布,但在某些我可以在下面看到的例外:
2022-06-07 10:08:17 WARN PartitionCountWatcherImpl:101 - Failed to refresh partition count
com.google.api.gax.rpc.ApiException:
at com.google.cloud.pubsublite.internal.CheckedApiException.<init>(CheckedApiException.java:51)
at com.google.cloud.pubsublite.internal.CheckedApiException.<init>(CheckedApiException.java:55)
at com.google.cloud.pubsublite.internal.ExtractStatus.toCanonical(ExtractStatus.java:49)
at com.google.cloud.pubsublite.internal.wire.PartitionCountWatcherImpl.pollTopicConfig(PartitionCountWatcherImpl.java:92)
at com.google.cloud.pubsublite.internal.wire.PartitionCountWatcherImpl.onAlarm(PartitionCountWatcherImpl.java:71)
at com.google.cloud.pubsublite.internal.AlarmFactory.lambda$null$0(AlarmFactory.java:41)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.InterruptedException
at com.google.common.util.concurrent.AbstractFuture.get(AbstractFuture.java:456)
at com.google.common.util.concurrent.FluentFuture$TrustedFuture.get(FluentFuture.java:100)
at com.google.common.util.concurrent.ForwardingFuture.get(ForwardingFuture.java:73)
at com.google.cloud.pubsublite.internal.wire.PartitionCountWatcherImpl.pollTopicConfig(PartitionCountWatcherImpl.java:81)
... 9 more
I am getting error while publishing message to gcp pubsub lite using spark structured streaming.
I cannot use writestream as I want to use it in forEachBatch sink in spark so I am using foreachpartition and foreach and publishing message inside foreach for each dataframe row.
Below is error I get , some messages get published but in some I can see below exception:
2022-06-07 10:08:17 WARN PartitionCountWatcherImpl:101 - Failed to refresh partition count
com.google.api.gax.rpc.ApiException:
at com.google.cloud.pubsublite.internal.CheckedApiException.<init>(CheckedApiException.java:51)
at com.google.cloud.pubsublite.internal.CheckedApiException.<init>(CheckedApiException.java:55)
at com.google.cloud.pubsublite.internal.ExtractStatus.toCanonical(ExtractStatus.java:49)
at com.google.cloud.pubsublite.internal.wire.PartitionCountWatcherImpl.pollTopicConfig(PartitionCountWatcherImpl.java:92)
at com.google.cloud.pubsublite.internal.wire.PartitionCountWatcherImpl.onAlarm(PartitionCountWatcherImpl.java:71)
at com.google.cloud.pubsublite.internal.AlarmFactory.lambda$null$0(AlarmFactory.java:41)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.InterruptedException
at com.google.common.util.concurrent.AbstractFuture.get(AbstractFuture.java:456)
at com.google.common.util.concurrent.FluentFuture$TrustedFuture.get(FluentFuture.java:100)
at com.google.common.util.concurrent.ForwardingFuture.get(ForwardingFuture.java:73)
at com.google.cloud.pubsublite.internal.wire.PartitionCountWatcherImpl.pollTopicConfig(PartitionCountWatcherImpl.java:81)
... 9 more
如果你对这篇内容有疑问,欢迎到本站社区发帖提问 参与讨论,获取更多帮助,或者扫码二维码加入 Web 技术交流群。

绑定邮箱获取回复消息
由于您还没有绑定你的真实邮箱,如果其他用户或者作者回复了您的评论,将不能在第一时间通知您!
发布评论